IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i18p10432-d638660.html
   My bibliography  Save this article

Research on the Knowledge-Sharing Incentive of the Cross-Boundary Alliance Symbiotic System

Author

Listed:
  • Xiaoxing Zhang

    (School of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China)

  • Changyuan Gao

    (School of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China)

  • Shuchen Zhang

    (School of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China)

Abstract

The rise of the cross-boundary alliance as a new organizational model profoundly affects innovation development. The incentive mode of knowledge-sharing among cross-boundary alliance members from the perspective of symbiosis is the key to improving the efficiency of knowledge-sharing and promoting the alliance’s sustainable development. Due to the interdisciplinary nature of knowledge and information asymmetry among alliance members, knowledge-sharing is prone to opportunistic behavior, which greatly impacts cross- boundary innovation cooperation. The symbiotic system of the cross-boundary alliance is constructed based on the analysis of symbiosis among alliance members to solve these problems. In this research study, the principal–agent theory is used to describe the expected benefits and the related constraints of knowledge-sharing partners. Moreover, an incentive model of knowledge-sharing in the cross-boundary alliance is established. By solving the model, the agent’s sharing intention and the principal’s reward incentive coefficient are obtained, which provide a theoretical basis for the formulation of the optimal incentive scheme of knowledge-sharing in the alliance. The results show that the knowledge potential difference, knowledge transmission efficiency, knowledge transformation, innovation effort, and the symbiotic environment will directly affect the knowledge transfer level of the alliance. In this research study, a theoretical research framework of the cross-boundary alliance symbiotic system linked by knowledge-sharing is constructed. The incentive model of knowledge-sharing is established especially on the basis of fully considering the internal and external factors of knowledge-sharing. This research study has provided some innovation in the theoretical system and method improvement, and has guaranteed the efficient integration, utilization, and innovation of knowledge resources in the cross-boundary alliance.

Suggested Citation

  • Xiaoxing Zhang & Changyuan Gao & Shuchen Zhang, 2021. "Research on the Knowledge-Sharing Incentive of the Cross-Boundary Alliance Symbiotic System," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10432-:d:638660
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/18/10432/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/18/10432/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Yung-Ming & Jhang-Li, Jhih-Hua, 2010. "Knowledge sharing in communities of practice: A game theoretic analysis," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1052-1064, December.
    2. Ashish Arora & Sharon Belenzon & Andrea Patacconi, 2021. "Knowledge Sharing in Alliances and Alliance Portfolios," Management Science, INFORMS, vol. 67(3), pages 1569-1585, March.
    3. Wenchao Xu & Yanmei Xu & Junfeng Li, 2017. "A Study of RI Clusters Based on Symbiosis Theory," Sustainability, MDPI, vol. 9(3), pages 1-13, March.
    4. Cowan, Robin & Jonard, Nicolas, 2004. "Network structure and the diffusion of knowledge," Journal of Economic Dynamics and Control, Elsevier, vol. 28(8), pages 1557-1575, June.
    5. Cary Deck & Nisvan Erkal, 2013. "An Experimental Analysis Of Dynamic Incentives To Share Knowledge," Economic Inquiry, Western Economic Association International, vol. 51(2), pages 1622-1639, April.
    6. Xiao Wang & Hans van der Bij & Wilfred Dolfsma, 2020. "Knowledge sharing in inter-organisational teams: the role of the advice network and the substitutive role of the formal network in an R&D alliance," Industry and Innovation, Taylor & Francis Journals, vol. 27(10), pages 1160-1185, November.
    7. Linda Kosmol & Werner Esswein, 2018. "Capturing the Complexity of Industrial Symbiosis," Progress in IS, in: Hans-Joachim Bungartz & Dieter Kranzlmüller & Volker Weinberg & Jens Weismüller & Volker Wohlgemuth (ed.), Advances and New Trends in Environmental Informatics, pages 183-197, Springer.
    8. Yu, Xinning & Lan, Yanfei & Zhao, Ruiqing, 2018. "Cooperation royalty contract design in research and development alliances: Help vs. knowledge-sharing," European Journal of Operational Research, Elsevier, vol. 268(2), pages 740-754.
    9. Gabriel B. Grant & Thomas P. Seager & Guillaume Massard & Loring Nies, 2010. "Information and Communication Technology for Industrial Symbiosis," Journal of Industrial Ecology, Yale University, vol. 14(5), pages 740-753, October.
    10. Jiuling Xiao & Yuting Bao & Jiankang Wang & Haiyun Yu & Zhenzhong Ma & Lei Jing, 2021. "Knowledge Sharing in R&D Teams: An Evolutionary Game Model," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    11. Tai-Wei Chang & Cheng-Ze Hung, 2021. "How to Shape the Employees’ Organization Sustainable Green Knowledge Sharing: Cross-Level Effect of Green Organizational Identity Effect on Green Management Behavior and Performance of Members," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    12. Xueguo Xu & Tingting Xu & Meizeng Gui, 2020. "Incentive Mechanism for Municipal Solid Waste Disposal PPP Projects in China," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    13. Artem Golev & Glen D. Corder & Damien P. Giurco, 2015. "Barriers to Industrial Symbiosis: Insights from the Use of a Maturity Grid," Journal of Industrial Ecology, Yale University, vol. 19(1), pages 141-153, February.
    14. Singh, Sanjay Kumar & Gupta, Shivam & Busso, Donatella & Kamboj, Shampy, 2021. "Top management knowledge value, knowledge sharing practices, open innovation and organizational performance," Journal of Business Research, Elsevier, vol. 128(C), pages 788-798.
    15. Philip Cooke, 2018. "Generative growth with ‘thin’ globalization: Cambridge’s crossover model of innovation," European Planning Studies, Taylor & Francis Journals, vol. 26(9), pages 1815-1834, September.
    16. Shivaram V. Devarakonda & Jeffrey J. Reuer, 2018. "Knowledge sharing and safeguarding in R&D collaborations: The role of steering committees in biotechnology alliances," Strategic Management Journal, Wiley Blackwell, vol. 39(7), pages 1912-1934, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yan Wang & Lifan Yang & Enzo Russo & Domenico Graziano, 2021. "The Incentive Mechanism of Knowledge Sharing in Cross-Border Business Models Based on Digital Technologies," Sustainability, MDPI, vol. 13(22), pages 1-33, November.
    2. Jiang Xu & Huihui Wu & Jianhua Zhang, 2022. "Innovation Research on Symbiotic Relationship of Organization’s Tacit Knowledge Transfer Network," Sustainability, MDPI, vol. 14(5), pages 1-22, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Angela Neves & Radu Godina & Susana G. Azevedo & João C. O. Matias, 2019. "Current Status, Emerging Challenges, and Future Prospects of Industrial Symbiosis in Portugal," Sustainability, MDPI, vol. 11(19), pages 1-23, October.
    2. Luca Fraccascia & Vahid Yazdanpanah & Guido Capelleveen & Devrim Murat Yazan, 2021. "Energy-based industrial symbiosis: a literature review for circular energy transition," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 4791-4825, April.
    3. João Azevedo & Inês Ferreira & Rui Dias & Cristina Ascenço & Bruno Magalhães & Juan Henriques & Muriel Iten & Fernando Cunha, 2021. "Industrial Symbiosis Implementation Potential—An Applied Assessment Tool for Companies," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    4. Rachel Lombardi, 2017. "Non-technical barriers to (and drivers for) the circular economy through industrial symbiosis: A practical input," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(1-2), pages 171-189.
    5. Daniel Jato-Espino & Carmen Ruiz-Puente, 2020. "Fostering Circular Economy Through the Analysis of Existing Open Access Industrial Symbiosis Databases," Sustainability, MDPI, vol. 12(3), pages 1-24, January.
    6. Amtul Samie Maqbool & Francisco Mendez Alva & Greet Van Eetvelde, 2018. "An Assessment of European Information Technology Tools to Support Industrial Symbiosis," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    7. Spanellis, Agnessa & MacBryde, Jillian & Dӧrfler, Viktor, 2021. "A dynamic model of knowledge management in innovative technology companies: A case from the energy sector," European Journal of Operational Research, Elsevier, vol. 292(2), pages 784-797.
    8. Liao, Shi-Gen & Yi, Shu-Ping, 2021. "Modeling and analysis knowledge transmission process in complex networks by considering internalization mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    9. Tian Yang & Changhao Liu & Raymond P. Côté & Jinwen Ye & Weifeng Liu, 2022. "Evaluating the Barriers to Industrial Symbiosis Using a Group AHP-TOPSIS Model," Sustainability, MDPI, vol. 14(11), pages 1-30, June.
    10. Stephen Chen, 2009. "Corporate Responsibilities in Internet-Enabled Social Networks," Journal of Business Ethics, Springer, vol. 90(4), pages 523-536, December.
    11. Anil K. Gupta & Paul E. Tesluk & M. Susan Taylor, 2007. "Innovation At and Across Multiple Levels of Analysis," Organization Science, INFORMS, vol. 18(6), pages 885-897, December.
    12. Inês A. Ferreira & Radu Godina & Helena Carvalho, 2020. "Waste Valorization through Additive Manufacturing in an Industrial Symbiosis Setting," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    13. Li, Ziran & Sun, Jiajing & Wang, Shouyang, 2013. "Amplitude-Duration-Persistence Trade-off Relationship for Long Term Bear Stock Markets," MPRA Paper 54177, University Library of Munich, Germany.
    14. Daniele Cassese & Paolo Pin, 2018. "Decentralized Pure Exchange Processes on Networks," Papers 1803.08836, arXiv.org, revised Mar 2022.
    15. Liming Zhao & Haihong Zhang & Wenqing Wu, 2019. "Cooperative knowledge creation in an uncertain network environment based on a dynamic knowledge supernetwork," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 657-685, May.
    16. Rosina Moreno & Ernest Miguélez, 2012. "A Relational Approach To The Geography Of Innovation: A Typology Of Regions," Journal of Economic Surveys, Wiley Blackwell, vol. 26(3), pages 492-516, July.
    17. Mueller, Matthias & Bogner, Kristina & Buchmann, Tobias & Kudic, Muhamed, 2015. "Simulating knowledge diffusion in four structurally distinct networks: An agent-based simulation model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 05-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    18. Zhu, Hongmiao & Jin, Zhen & Yan, Xin, 2023. "A dynamics model of coupling transmission for multiple different knowledge in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
    19. Cary Deck & Erik O. Kimbrough, 2017. "Experimenting with Contests for Experimentation," Southern Economic Journal, John Wiley & Sons, vol. 84(2), pages 391-406, October.
    20. Wang, Haiying & Moore, Jack Murdoch & Wang, Jun & Small, Michael, 2021. "The distinct roles of initial transmission and retransmission in the persistence of knowledge in complex networks," Applied Mathematics and Computation, Elsevier, vol. 392(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10432-:d:638660. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.